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| <div class="title">arm_compute::test::neon Namespace Reference</div> </div> |
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| <div class="contents"> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> |
| Data Structures</h2></td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">NEAccessor</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Accessor implementation for <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> objects. <a href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml#details">More...</a><br /></td></tr> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a8a2ccb1bb0c0cce458228827f0d9ea9c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">create_tensor</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int num_channels=1, int fixed_point_position=0)</td></tr> |
| <tr class="memdesc:a8a2ccb1bb0c0cce458228827f0d9ea9c"><td class="mdescLeft"> </td><td class="mdescRight">Helper to create an empty tensor. <a href="#a8a2ccb1bb0c0cce458228827f0d9ea9c">More...</a><br /></td></tr> |
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| <tr class="memitem:aba7bb61a3fe03f14943287bdda563d39"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1neon.xhtml#aba7bb61a3fe03f14943287bdda563d39">create_tensor</a> (const std::string &name, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int fixed_point_position=0)</td></tr> |
| <tr class="memdesc:aba7bb61a3fe03f14943287bdda563d39"><td class="mdescLeft"> </td><td class="mdescRight">Helper to create an empty tensor. <a href="#aba7bb61a3fe03f14943287bdda563d39">More...</a><br /></td></tr> |
| <tr class="separator:aba7bb61a3fe03f14943287bdda563d39"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a class="anchor" id="a8a2ccb1bb0c0cce458228827f0d9ea9c"></a> |
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| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> arm_compute::test::neon::create_tensor </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_channels</em> = <code>1</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
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| </div><div class="memdoc"> |
| |
| <p>Helper to create an empty tensor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>Desired shape. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Desired data type. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>(Optional) It indicates the number of channels for each tensor element </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Empty <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> with the specified shape and data type. </dd></dl> |
| |
| <p>Definition at line <a class="el" href="_n_e_o_n_2_helper_8h_source.xhtml#l00047">47</a> of file <a class="el" href="_n_e_o_n_2_helper_8h_source.xhtml">Helper.h</a>.</p> |
| |
| <p>References <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor::allocator()</a>, and <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4">TensorAllocator::init()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  Tensor tensor;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  tensor.allocator()->init(TensorInfo(shape, num_channels, data_type, fixed_point_position));</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> tensor;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="aba7bb61a3fe03f14943287bdda563d39"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> arm_compute::test::neon::create_tensor </td> |
| <td>(</td> |
| <td class="paramtype">const std::string & </td> |
| <td class="paramname"><em>name</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Helper to create an empty tensor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">name</td><td>File name from which to get the dimensions. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Desired data type. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Number of bits for the fractional part of the fixed point numbers</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Empty <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> with the specified shape and data type. </dd></dl> |
| |
| <p>Definition at line <a class="el" href="_n_e_o_n_2_helper_8h_source.xhtml#l00063">63</a> of file <a class="el" href="_n_e_o_n_2_helper_8h_source.xhtml">Helper.h</a>.</p> |
| |
| <p>References <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor::allocator()</a>, <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4">TensorAllocator::init()</a>, <a class="el" href="benchmark_2main_8cpp_source.xhtml#l00050">arm_compute::test::library</a>, and <a class="el" href="_raw_tensor_8cpp_source.xhtml#l00086">RawTensor::shape()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_channels = 1;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> RawTensor &raw = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(name);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  Tensor tensor;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  tensor.allocator()->init(TensorInfo(raw.shape(), num_channels, data_type, fixed_point_position));</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> tensor;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_xhtml_a4ced6442a379a75e8a6c4be093fb666b"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< TensorLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2main_8cpp_source.xhtml#l00050">main.cpp:50</a></div></div> |
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